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MIMO-OFDM radar waveform design for improving the detection performance of STAP

机译:用于提高STAP检测性能的MIMO-OFDM雷达波形设计

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In this paper, we address the waveform optimization problem for improving the detection performance of MIMO-OFDM radar based STAP in the complex environment. Under the maximizing the output signal-to-interference-and-noise-ratio (SINR) criterion, the waveform optimization problem for improving the detection performance of STAP is derived, which is subjected to the constant modulus constraint. To tackle the resultant nonlinear and complicated optimization issue, a novel diagonal loading (DL) based method is proposed to reformulate it as a semidefinite programming (SDP) one, and then this problem can be solved very efficiently. In what follows, the optimized waveform covariance matrix (WCM) can be obtained to maximize the output SINR of MIMO-OFDM such that the detection performance of STAP can be improved. The simulation results show that the proposed method can improve the output SINR detection performance considerably, as compared to that of uncorrelated waveforms.
机译:在本文中,我们解决了波形优化问题,以改善复杂环境中基于MIMO-OFDM雷达的STAP的检测性能。在最大化输出信噪比(SINR)标准的前提下,推导了提高STAP检测性能的波形优化问题,并对其进行了恒定模量约束。为了解决由此产生的非线性和复杂的优化问题,提出了一种基于对角线加载(DL)的新颖方法将其重新格式化为半定规划(SDP),然后可以非常有效地解决该问题。在下文中,可以获得优化的波形协方差矩阵(WCM)以最大化MIMO-OFDM的输出SINR,从而可以改善STAP的检测性能。仿真结果表明,与不相关波形相比,该方法可以显着提高输出SINR的检测性能。

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